Mac15,14
Geekbench AI Score
5567
Single Precision Score
8547
Half Precision Score
6661
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Hydroxpert |
| Upload Date | April 04 2025 07:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
2509
466.6 IPS |
|
|
Image Classification (Q)
|
96% |
1829
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3558
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22591
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
40138
46.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28098
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.1 IPS |
|
|
Object Detection (HP)
|
97% |
3257
259.3 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
4710
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
7569
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4310
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
14491
112.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9936
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35707
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51892
66.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40331
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7005
258.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9458
349.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5825
215.1 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5031
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4960
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5838
100.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8047
139.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8063
139.3 IPS |
